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skill-manager

2
richenlinrichenlin

AI 系统的技能生命周期管理器。触发词:"列出skill"、"查看skill"、"skill列表"、"有哪些skill"、"检查skill"、"更新skill"、"删除skill"、"启用skill"、"禁用skill"、"skill状态"、"健康检查"、"list skills"、"check skills"

192 days ago

evolving-agent

2
richenlinrichenlin

AI programming system coordinator. Trigger words: "develop", "implement", "create", "add", "fix", "report error", "refactor", "optimize", "review", "continue", "why", "remember", "save experience", "retrospect", "analyze", "learn", "reference", "imitate", "/evolve"

192 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
Can't find your answer here? Get in touch

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